Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
We presenta group of methods of decomposingan arbitrary 3D volume rotation into a sequenceof simple shear(i.e., regular shift) operations. We explore different types of shear oper...
Abstract. A stochastic spike train analysis technique is introduced to reveal the correlation between the firing of the next spike and the temporal integration period of two conse...